石油工程现场技术分析与决策支持及发展构想

doi:10.3969/j.issn.1002-302x.2022.06.009

摘要/Abstract

摘要： 针对现场石油工程人员日常技术分析与决策支持需求，分析了常规工程技术查询、工程技术分析核查、复杂工程技术共享核查3种实现方式的应用现状及发展构想。指出在井筒工程数字化、智能化大背景下，常规工程技术查询方面，现场石油工程人员总体以文档手工查询为主，需发展石油工程全专业实时便捷网络共享查询技术；在工程技术分析核查方面，现场主要采用简单工程技术分析方式，复杂技术分析工具软件使用有限，需发展以移动终端应用的石油工程技术分析应用平台；在复杂工程技术共享核查方面，资料归档、专家咨询与技术研讨共享核查效率不高，技术社区共享小规模情形下共享随机性强，需建立和发展复杂工程技术深度共享平台。

关键词: 石油工程, 技术核查, 技术查询, 技术分析, 知识共享

Abstract: Aiming at the demand of well-site professionals for daily technological analysis and policy-making support, this paper analyzes the technical status and comes up with the proposals in three aspects, i.e., conventional engineering query, engineering analysis and review, and know-how sharing to solving engineering complexes. In terms of conventional engineering query, currently well-site professionals can only do manual inquiry, hence it is necessary to develop a real-time online knowledge-sharing and consultation system covering all engineering disciplines against the background of wellbore engineering digitalization and intellectualization. In terms of engineering analysis and review, currently well-site professionals use simple engineering analysis method with only limited application of software, hence it is necessary to establish an application platform to be used by mobile terminals. In terms of the engineering know-how sharing, the efficiency is not high in data archiving, expert consultation and technological workshop, with high randomness in small-scale technological community sharing, hence it is necessary to establish an in-depth sharing platform of complex engineering technology.

中图分类号:

TE24
G312

胡贵　崔明月　常鑫　陶冶　黄雪琴　杨姝　陈世堂　石李保. 石油工程现场技术分析与决策支持及发展构想[J]. 石油科技论坛, 2022, 41(6): 62-68.

Hu Gui, Cui Mingyue, Chang Xin, Tao Ye, Huang Xueqin, Yang Shu, Chen Shitang, Shi Libao. Proposals on Operation Problem Analysis and Policy-making Support Concerning Petroleum Engineering[J]. Petroleum Science and Technology Forum, 2022, 41(6): 62-68.

参考文献

[1]　钱浩东, 温馨, 甘红梅, 等. 井筒工程“大数据”的建立与应用实践[J]. 钻采工艺, 2019, 42(2): 38-41.
Qian Haodong, Wen Xin, Gan Hongmei, et al. Establishment and application of wellbore engineering “Big Data”[J]. Drilling & Production Technology, 2019, 42(2):38-41.
[2]　刘伟, 闫娜. 人工智能在石油工程领域应用及影响[J]. 石油科技论坛, 2018, 37(4): 32-40.
Liu Wei, Yan Na. Application and influence of artificial intelligence in petroleum engineering area[J]. Oil Forum, 2018, 37(4): 32-40.
[3]　葛云华, 周波, 张彦龙. 基于物联网的钻井远程支持系统应用现状及发展方向[J]. 石油科技论坛, 2019, 38(2): 45-51.
Ge Yunhua, Zhou Bo, Zhang Yanlong. Application conditions and development orientation of RTOC based on Internet of Things[J]. Oil Forum, 2019, 38(2): 45-51.
[4]　李剑峰. 智慧石化建设: 从信息化到智能化[J]. 石油科技论坛, 2020, 39(1): 34-42.
Li Jianfeng. Construction of intelligent petrochemical industry: From information to intelligence[J]. Petroleum Science and Technology Forum, 2020, 39(1): 34-42.
[5]　胡贵, 崔明月, 陶冶, 等. 油气井筒工程数据平台技术进展及数据深度应用思考[J]. 石油科技论坛, 2021, 40(5): 65-72.
Hu Gui, Cui Mingyue, Tao Ye, et al. Progress in oil and gas wellbore engineering data platform technology and suggestions on in-depth application of data [J]. Petroleum Science and Technology Forum, 2021, 40(5): 65-72.
[6]　王瑞和. 石油工程概论[M].青岛: 中国石油大学出版社, 2001.
Wang Ruihe. Introduction to petroleum engineering[M]. Qingdao: China University of Petroleum Press, 2001.
[7]　张建军, 师俊峰, 赵瑞东. 油气井生产系统优化设计与诊断决策软件(PetroPE) V1.0[J]. 石油科技论坛, 2013, 32(5): 55-57.
Zhang Jianjun, Shi Junfeng and Zhao Ruidong. Optimized Design of Oil and Gas Well Production System and Diagnostic and Decision-Making Software (PetroPE) V1.0[J]. Oil Forum, 2013, 32(5): 55-57.
[8]　李琪, 何华灿. 石油钻井知识共享体系和环境的建立[J]. 天然气工业, 2004, 24(10): 151-153.
Li Qi, He Huacan. Establishment of sharing system and environment of drilling knowledge[J]. Natural Gas Industry, 2004, 24(10): 151-153.
[9]　石油工业标准查询系统[EB/OL]. [2022-11-29]. http://www.petrostd. com/km/front/standard/index.jsp. China Petroleum Standard Enquiries System[EB/OL]. [2022-11-29]. http://www.petrostd.com/km/front/standard/index.jsp
[10] 程显林, 王健, 王敬山, 等. 石油企业相关标准移动查询系统[J]. 大庆石油学院学报, 2009, 33(1): 81-83, 115.
Cheng Xianlin, Wang Jian, Wang Jingshan, et al. Enquiry system for the criteria related to oilfield prospecting[J]. Journal of Daqing Petroleum Institute, 2009, 33 (1): 81-83,115.
[11] eKIS知识共享平台[EB/OL]. [2022-11-29]. https://www.ekis.com.cn:9001/login.jsp. Expert Knowledge and Intelligent Sharing[EB/OL]. [2022-11-29]. https://www.ekis.com.cn:9001/login.jsp.
[12] 钱浩东, 王鹏, 张治发. 工程作业智能支持系统EISS平台技术架构优化实践[J]. 中国管理信息化, 2021, 24(16): 184-186.
Qian Haodong, Wang Peng, Zhang Zhifa. Optimization of technical architecture of engineering operation intelligent support system platform[J]. China Management Informationization, 2021, 24(16): 184-186.
[13] 黄伟和. 页岩气开发钻井降本增效案例[M]. 北京: 石油工业出版社, 2019.
Huang Weihe. Case of drilling cost reduction and efficiency increase in shale gas development[M]. Beijing: Petroleum Industry Press, 2019.
[14] Oort E V, Griffith J D, Schneider B V. How to accelerate drilling learning curves[R]. SPE-140333-MS, 2011.
[15] 雷智博, 唐梦, 宋泽文. 工程作业智能支持中心（EISC）建设与应用[J]. 信息系统工程, 2022(7): 121-124.
Lei Zhibo, Tang Meng, Song Zewen. Construction and application of engineering operation intelligence support center (EISC) [J]. Information System Engineering, 2022 (7): 121-124.
[16] Claudio J, Camilo A, Scott M. Drilling improvement in pursuit of the perfect well in the Eagle Ford – More than 52% reduction in drilling time and 45% in cost in two and a half year[R]. SPE-178897-MS, 2016.
[17] Anton A, Per O, Josh E, et al. Social networking and online collaboration in the oil and gas industry[J]. The Way Ahead, 2007, 6 (3): 11-35.
[18] Paylow K, Hickman A, Liu S, et al. Leverage knowledge-management tools to better understand and meet the needs of the industry[R]. SPE-107565-MS, 2007.
[19] 胡贵, 温晓红, 王青华, 等. 油气井开采工程知识库构建方法及装置[P]. 中国专利, ZL202110598466.6, 2021-05-31.
Hu Gui, Wen Xiaohong, Wang Qinghua, et al. Method and device for building knowledge database of oil and gas well production engineering [P]. Chinese Patent, ZL202110598466.6, 2021-05-31.
[20] 孙金声, 刘伟. 我国石油工程技术与装备走向高端的发展战略思考与建议[J]. 石油科技论坛, 2021, 40(3): 43-55.
Sun Jinsheng, Liu Wei. Strategic thinking and suggestions on high-end development of China’s petroleum engineering technology and equipment[J]. Petroleum Science and Technology Forum, 2021, 40(3): 43-55.